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Do Dropouts Benefit from Training Programs? Korean Evidence Employing Methods for Continuous Treatments

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  • Choe, Chung

    (Konkuk University)

  • Flores-Lagunes, Alfonso

    (Syracuse University)

  • Lee, Sang-Jun

    (Korea Research Institute for Vocational Education and Training)

Abstract

Failure of participants to complete training programs is pervasive in existing active labor market programs both in developed and developing countries. The proportion of dropouts in prototypical programs ranges from 10 to 50 percent of all participants. From a policy perspective, it is of interest to know if dropouts benefit from the time they spend in training since these programs require considerable resources. We shed light on this issue by estimating the average employment effects of different lengths of exposure to a program by dropouts in a Korean job training program. To do this, we employ parametric and semiparametric methods to estimate effects from continuous treatments using the generalized propensity score, under the assumption that selection into different lengths of exposure is based on a rich set of observed covariates. We find that participants who drop out later – thereby having longer exposures – exhibit higher employment probabilities one year after receiving training, and that marginal effects of additional exposure to training are initially fairly small, but increase sharply past a certain threshold of exposure. One implication of these results is that this and similar programs could benefit from providing incentives for participants to stay longer in the program.

Suggested Citation

  • Choe, Chung & Flores-Lagunes, Alfonso & Lee, Sang-Jun, 2011. "Do Dropouts Benefit from Training Programs? Korean Evidence Employing Methods for Continuous Treatments," IZA Discussion Papers 6064, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp6064
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    1. Joseph Hilbe, 1993. "Generalized linear models," Stata Technical Bulletin, StataCorp LP, vol. 2(11).
    2. Heckman, James J. & Navarro, Salvador, 2007. "Dynamic discrete choice and dynamic treatment effects," Journal of Econometrics, Elsevier, vol. 136(2), pages 341-396, February.
    3. Kluve, Jochen & Lehmann, Hartmut & Schmidt, Christoph M., 1999. "Active Labor Market Policies in Poland: Human Capital Enhancement, Stigmatization, or Benefit Churning?," Journal of Comparative Economics, Elsevier, vol. 27(1), pages 61-89, March.
    4. Newey, Whitney K., 1994. "Kernel Estimation of Partial Means and a General Variance Estimator," Econometric Theory, Cambridge University Press, vol. 10(2), pages 1-21, June.
    5. Lubyova, Martina & van Ours, Jan C., 1999. "Effects of Active Labor Market Programs on the Transition Rate from Unemployment into Regular Jobs in the Slovak Republic," Journal of Comparative Economics, Elsevier, vol. 27(1), pages 90-112, March.
    6. Attanasio, Orazio & Kugler, Adriana & Meghir, Costas, 2009. "Subsidizing Vocational Training for Disadvantaged Youth in Developing Countries: Evidence from a Randomized Trial," IZA Discussion Papers 4251, Institute of Labor Economics (IZA).
    7. Lechner, Michael & Wunsch, Conny, 2013. "Sensitivity of matching-based program evaluations to the availability of control variables," Labour Economics, Elsevier, vol. 21(C), pages 111-121.
    8. Heckman, J.J. & Hotz, V.J., 1988. "Choosing Among Alternative Nonexperimental Methods For Estimating The Impact Of Social Programs: The Case Of Manpower Training," University of Chicago - Economics Research Center 88-12, Chicago - Economics Research Center.
    9. David Card & Pablo Ibarraran & Ferdinando Regalia & David Rosas & Yuri Soares, 2007. "The Labor Market Impacts of Youth Training in the Dominican Republic: Evidence from a Randomized Evaluation," NBER Working Papers 12883, National Bureau of Economic Research, Inc.
    10. A. Smith, Jeffrey & E. Todd, Petra, 2005. "Does matching overcome LaLonde's critique of nonexperimental estimators?," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 305-353.
    11. James Heckman & Neil Hohmann & Jeffrey Smith & Michael Khoo, 2000. "Substitution and Dropout Bias in Social Experiments: A Study of an Influential Social Experiment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 115(2), pages 651-694.
    12. Kluve, Jochen & Schneider, Hilmar & Uhlendorff, Arne & Zhao, Zhong, 2007. "Evaluating Continuous Training Programs Using the Generalized Propensity Score," Ruhr Economic Papers 35, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    13. Flores, Carlos A. & Mitnik, Oscar A., 2009. "Evaluating Nonexperimental Estimators for Multiple Treatments: Evidence from Experimental Data," IZA Discussion Papers 4451, Institute of Labor Economics (IZA).
    14. Núria Rodríguez-Planas & Benus Jacob, 2010. "Evaluating active labor market programs in Romania," Empirical Economics, Springer, vol. 38(1), pages 65-84, February.
    15. Jochen Kluve & Hilmar Schneider & Arne Uhlendorff & Zhong Zhao, 2012. "Evaluating continuous training programmes by using the generalized propensity score," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 175(2), pages 587-617, April.
    16. Waller, Marie, 2008. "Further training for the unemployed : what can we learn about dropouts from administrative data?," FDZ Methodenreport 200804_en, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    17. Michael Lechner, 2002. "Program Heterogeneity And Propensity Score Matching: An Application To The Evaluation Of Active Labor Market Policies," The Review of Economics and Statistics, MIT Press, vol. 84(2), pages 205-220, May.
    18. David S. Lee & Thomas Lemieux, 2010. "Regression Discontinuity Designs in Economics," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 281-355, June.
    19. Angel Calderón Madrid, 2006. "Revisiting the Employability Effects of Training Programs for the Unemployed in Developing Countries," IDB Publications (Working Papers) 43258, Inter-American Development Bank.
    20. Myoung Lee & Sang Lee, 2009. "Sensitivity analysis of job-training effects on reemployment for Korean women," Empirical Economics, Springer, vol. 36(1), pages 81-107, February.
    21. Rajeev H. Dehejia & Sadek Wahba, 2002. "Propensity Score-Matching Methods For Nonexperimental Causal Studies," The Review of Economics and Statistics, MIT Press, vol. 84(1), pages 151-161, February.
    22. Oscar A. Mitnik, 2007. "Intergenerational transmission of welfare dependency: The effects of length of exposure," Working Papers 0715, University of Miami, Department of Economics.
    23. Heckman, James J. & Lalonde, Robert J. & Smith, Jeffrey A., 1999. "The economics and econometrics of active labor market programs," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 31, pages 1865-2097, Elsevier.
    24. James Heckman & Jeffrey Smith & Christopher Taber, 1998. "Accounting For Dropouts In Evaluations Of Social Programs," The Review of Economics and Statistics, MIT Press, vol. 80(1), pages 1-14, February.
    25. Michael Lechner, 2000. "Programme Heterogeneity and Propensity Score Matching: An Application to the Evaluation of Active Labour Market Policies," Econometric Society World Congress 2000 Contributed Papers 0647, Econometric Society.
    26. Michela Bia & Alessandra Mattei, 2008. "A Stata package for the estimation of the dose–response function through adjustment for the generalized propensity score," Stata Journal, StataCorp LP, vol. 8(3), pages 354-373, September.
    27. van Ours, J.C. & Lubyova, M., 1999. "Effects of active labour market programmes on the transition rate from unemployment into regular jobs in the Slovak Republic," Other publications TiSEM 742d0ca3-611a-4b55-a8c4-8, Tilburg University, School of Economics and Management.
    28. Guido W. Imbens, 2004. "Nonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 4-29, February.
    29. repec:iab:iabfme:200804(en is not listed on IDEAS
    30. Hector Chade & Gustavo Ventura, 1998. "Taxes and Marriage: A Two-Sided Search Analysis," University of Western Ontario, Departmental Research Report Series 9819, University of Western Ontario, Department of Economics.
    31. Betcherman, Gordon & Olivas, Karina & Dar, Amit, 2004. "Impacts of active labor market programs : new evidence from evaluations with particular attention to developing and transition countries," Social Protection Discussion Papers and Notes 29142, The World Bank.
    32. Cristian Aedo, "undated". "The Impact of Training Policies in Latin America and the Caribbean: The Case of "Programa Joven"," ILADES-UAH Working Papers inv131, Universidad Alberto Hurtado/School of Economics and Business.
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    Cited by:

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    2. Beber, Bernd & Dworschak, Regina & Lakemann, Tabea & Lay, Jann & Priebe, Jan, 2021. "Skills Development and Training Interventions in Africa: Findings, Challenges, and Opportunities," RWI Projektberichte, RWI - Leibniz-Institut für Wirtschaftsforschung, number 247426.
    3. Juan M. Villa, 2014. "The length of exposure to antipoverty transfer programmes: what is the relevance for children's human capital formation?," Global Development Institute Working Paper Series 20614, GDI, The University of Manchester.
    4. Dammert, Ana C. & Galdo, Jose, 2013. "Program quality and treatment completion for youth training programs," Economics Letters, Elsevier, vol. 119(3), pages 243-246.

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    More about this item

    Keywords

    generalized propensity score; continuous treatments; developing countries; dropouts; training programs; dose-response function;
    All these keywords.

    JEL classification:

    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration
    • I38 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Government Programs; Provision and Effects of Welfare Programs
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

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